Gary Vaynerchuk
CEO of VaynerX & Founder of VaynerMedia
Fei-Fei Li
Professor of Computer Science, Stanford University
Human-Centered AI · Computer Vision · AI Policy
Speaking Fee
Fee on request
Based In
United States
Signature Topic
Human-Centered AI
Format
Keynote
Speaking reel
Watch Fei-Fei on stage
About Fei-Fei
Fei-Fei Li is the inaugural Sequoia Professor of Computer Science at Stanford University and founding co-director of the Stanford Institute for Human-Centered Artificial Intelligence. She created ImageNet, the dataset and benchmark widely credited with catalyzing the deep-learning era of AI.
She served as Vice President at Google and Chief Scientist of AI and Machine Learning at Google Cloud from 2017 to 2018, and co-founded the nonprofit AI4ALL to widen who gets to build the technology. In 2024 she founded World Labs, a company working on spatial intelligence.
She is an elected member of the National Academy of Engineering, the National Academy of Medicine, and the American Academy of Arts and Sciences, and has advised United States policymakers on national AI strategy. Her memoir, The Worlds I See, was published in 2023.
Li is a professor of computer science at Stanford and co-director of the Stanford Institute for Human-Centered AI. She created ImageNet, the large-scale labeled image dataset whose 2012 benchmark results are widely treated as the moment modern deep learning became credible, and served as chief scientist for AI and machine learning at Google Cloud.
She also founded the nonprofit AI4ALL and published a memoir, The Worlds I See, in 2023, and her more recent work centers on spatial intelligence. For an audience that has heard several vendor keynotes on AI, the distinguishing feature is that she is describing a field she helped build, from a research and policy position rather than a commercial one.
Keynote Topics
Human-Centered AI: Building Technology That Serves People
What ImageNet Taught Us About Machine Learning
AI, Policy, and the Public Interest
Spatial Intelligence and the Next Phase of AI
Best For
- AI and technology conferences
- Executive briefings on AI strategy
- Healthcare and life-sciences summits
- University and research events
- Policy and public-sector forums
Booking Fei-Fei Li: Frequently Asked Questions
What is Fei-Fei Li's speaking fee?
Fei-Fei Li's fee is not published on this site and is quoted per event, driven by event date, location and travel, session length, whether a workshop, breakout or moderated Q&A is added to the keynote, and whether book copies or licensed follow-up material are included. Academic and research speakers also vary with teaching commitments, so confirm availability early for term-time dates.
What topics does Fei-Fei Li speak on?
Human-centered AI and building technology that serves people, what ImageNet taught us about machine learning, AI policy and the public interest, and spatial intelligence as the next phase of AI. She speaks from the research side rather than the vendor side, which matters for audiences tired of AI sales pitches.
Is Fei-Fei Li a good fit for a non-technical audience?
Her work is technical in origin but the talks most often booked by corporate audiences are about direction and consequence rather than implementation. If your room is a mix of technical and business attendees, say so in your brief: the framing changes considerably depending on who is in the seats.
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Fei-Fei Li
Professor of Computer Science, Stanford University
Fee on request
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